DocumentCode
596549
Title
A new gray value retention histogram equalization
Author
Bin Ge ; Ningning Zhou
Author_Institution
Software Eng., Nanjing Univ. of Posts & Telecommun., Nanjing, China
fYear
2012
fDate
18-20 Oct. 2012
Firstpage
105
Lastpage
107
Abstract
In the field of image processing histogram equalization is a method to enhance images by adjusting the image contrast. The idea is to change the original image histogram from the more concentrated gray-scale range into all the uniform distribution. There is a shortcoming that gray-scale merging in traditional histogram equalization image enhancement. A gray-scale retention histogram equalization can reduce the adverse effects of the gray-scale mergering and retain more image details. This method has been improved in this paper, we use Measure of Medium Truth Degree to determine which is better, the method retains high gray-level or the one retains the low gray-level.
Keywords
image colour analysis; image enhancement; concentrated gray-scale range; gray-scale mergering; gray-scale merging; gray-scale retention histogram equalization; histogram equalization image enhancement; image contrast; image details; image processing histogram equalization; medium truth degree measure; new gray value retention histogram equalization; uniform distribution; Adaptive equalizers; Brightness; Gray-scale; Helium; Histograms; Image enhancement;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4673-1743-6
Type
conf
DOI
10.1109/ICACI.2012.6463130
Filename
6463130
Link To Document